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Network topology of an experimental futures exchange

机译:实验性期货交易所的网络拓扑

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摘要

Many systems of different nature exhibit scale free behaviors. Economic systems with power law distribution in the wealth are one of the examples. To better understand the working behind the complexity, we undertook an experiment recording the interactions between market participants. A Web server was setup to administer the exchange of futures contracts whose liquidation prices were coupled to event outcomes. After free registration, participants started trading to compete for the money prizes upon maturity of the futures contracts at the end of the experiment. The evolving 'cash' flow network was reconstructed from the transactions between players. We show that the network topology is hierarchical, disassortative and small-world with a power law exponent of 1.02 +/- 0.09 in the degree distribution after an exponential decay correction. The small-world property emerged early in the experiment while the number of participants was still small. We also show power law-like distributions of the net incomes and inter-transaction time intervals. Big winners and losers are associated with high degree, high betweenness centrality, low clustering coefficient and low degree-correlation. We identify communities in the network as groups of the like-minded. The distribution of the community sizes is shown to be power-law distributed with an exponent of 1.19 +/- 0.16.
机译:许多不同性质的系统表现出无标度的行为。在财富中具有幂律分布的经济体系就是例子之一。为了更好地了解复杂性背后的工作原理,我们进行了一项实验,记录了市场参与者之间的互动。设置了Web服务器来管理其清算价格与事件结果相关的期货合约的交换。在免费注册后,参与者在实验结束时开始交易以争夺期货合约到期时的奖金。从参与者之间的交易中重建了不断发展的“现金”流量网络。我们表明,网络拓扑是分层的,可分解的并且是小世界,在幂次衰减校正后,度数分布中的幂律指数为1.02 +/- 0.09。小世界的财产在实验的早期出现,而参与者的数量仍然很小。我们还显示了净收入和交易交互时间间隔的幂律分布。大的赢家和输家与高度,高中间性,低聚类系数和低相关度相关。我们将网络中的社区标识为志趣相投的群体。社区规模的分布显示为幂律分布,指数为1.19 +/- 0.16。

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